Wavelet Based Face Recognition using ROIs and k-NN
نویسندگان
چکیده
In this paper, human face recognition of still images has been proposed. The proposed system involves five steps: face detection by AdaBoost face detector, region of interest (ROI) extraction, feature extraction using discrete wavelet transform (DWT), dimensionality reduction by employing independent component analysis (ICA) and classification using k-Nearest Neighborhood (k-NN) classifier. Experiments were conducted on “Faces94” database by choosing 40 classes where, each class contains 5 images. The proposed system exhibits a recognition rate of about 83.5%.
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تاریخ انتشار 2013